RWeka v0.4-24

0

Monthly downloads

0th

Percentile

by Kurt Hornik

R/Weka interface

An R interface to Weka (Version 3.7.12). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/ml/weka/>.

Functions in RWeka

Name Description
WPM Weka Package Manager
Weka_control Control Weka Options
Weka_classifier_rules R/Weka Rule Learners
Weka_classifier_lazy R/Weka Lazy Learners
Weka_classifier_functions R/Weka Classifier Functions
WOW Weka Option Wizard
Weka_associators R/Weka Associators
Weka_clusterers R/Weka Clusterers
Weka_tokenizers R/Weka Tokenizers
Weka_classifier_trees R/Weka Classifier Trees
read.arff Read Data from ARFF Files
dot Create DOT Representations
Weka_converters R/Weka File Loaders and Savers
Weka_stemmers R/Weka Stemmers
Weka_attribute_evaluators R/Weka Attribute Evaluators
write.arff Write Data into ARFF Files
Weka_classifiers R/Weka Classifiers
evaluate_Weka_classifier Model Statistics for R/Weka Classifiers
Weka_filters R/Weka Filters
predict_Weka_clusterer Class Predictions for R/Weka Clusterers
Weka_classifier_meta R/Weka Meta Learners
predict_Weka_classifier Model Predictions for R/Weka Classifiers
Weka_interfaces R/Weka interfaces
No Results!

Last month downloads

Details

SystemRequirements Java (>= 6.0)
License GPL-2
Packaged 2015-01-28 13:36:59 UTC; hornik
NeedsCompilation no
Repository CRAN
Date/Publication 2015-01-28 14:40:41

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/RWeka)](http://www.rdocumentation.org/packages/RWeka)